View allAll Photos Tagged computation
Computational Design-Architecture-Photography-Art-
urban -panorama-city-abstract colors - light mobile photography-DSLR photography
Work by Rebal Jaber
Taïkoo Hui - Tianhe, Guangzhou, Guangdong, China
HDA : Specialist Design consultants
Client : Swire Properties Inc.
Architect: Arquitectonica
Date : 2005 - 2010
See more at : www.hda-paris.com/
These result images are from the first homework assignment of my Computational Photography class at Columbia University. For each image I applied a number of face detectors to the images and determined the best rotation give the number of faces. I also classified the image as having being individuals or group shots.
Contractor Jason Cofield works to survey the campus at Jefferson Lab in Newport News, Va., on Thursday, Nov. 21, 2024. (Aileen Devlin | Jefferson Lab)
ACTIVATE 2009: Computational Thinking
CMU - Carnegie Mellon University
Pittsburgh,PA
July 10-13, 2009
This photo is from July 12, 2009.
Taïkoo Hui - Tianhe, Guangzhou, Guangdong, China
HDA : Specialist Design consultants
Client : Swire Properties Inc.
Architect: Arquitectonica
Date : 2005 - 2010
See more at : www.hda-paris.com/
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More of my artwork can be found in my online portfolio
and some prints are available
This abstract diptych consists of the right side of two pictures I took with my point-and-shoot of a white door.
The lines on the right show the curved "barrel distortion" (only slightly exaggerated for illustrative effect in Photoshop) you normally get near the edge of the frame with most zoom lenses at the wide setting (at the tele setting they normally produce some "pincushion distortion"). The straight lines on the left are straight out of the camera. The photo on the left was taken with distortion control set to on.
The distortion control was done, not optically, but by the camera's computer in processing the image. It had the effect of making the lens of my relatively inexpensive point-and-shoot the functional equivalent of a lens costing many times what the entire camera did.
It's a part of something called computational photography that constitutes what might be called the second phase of digital photography, one that is rapidly changing what we can do with our cameras. In the first phase, digital cameras used their computers to render the images produced by electronic sensors in a form that roughly mimicked what film could do. Now the computers in our cameras are adding a host of functions that could never be performed with film, or only performed awkwardly and expensively.
Computational photography is about replacing or supplenting optics with computers. Distortion and perspective control (eliminating slanting lines when a camera is pointed upward) are two examples. Another is automatically compensating for lens flaws that are always present to a greater or lesser degree. Designing a lens is always a matter of trade-offs between various kinds of aberrations and distortions. The better the trade-offs are managed, the more expensive the lens. But now manufacturers can optimize lenses for inexpensive production and correct the results in software, which is much cheaper.
Another example is the High Dynamic Range (HDR) capability that's being built into more and more cameras. By shooting two or more pictures in quick succession and combining them in software, the camera can render pleasing shadow detail without blowing out the highlights.
This is just the beginning. As this article about computational photography in the NYT points out, experimenters are already doing things that seem straight out of science fiction, such as cameras without lenses and cameras that can shoot around corners using lasers.
In other words, a lot of today's equipment will become obsolete as we change our ideas of what digital photography can and should do -- just the way manufacturers like it.
These result images are from the first homework assignment of my Computational Photography class at Columbia University. For each image I applied a number of face detectors to the images and determined the best rotation give the number of faces. I also classified the image as having being individuals or group shots.
Computational Compost addresses the environmental impact of data storage and proposes a synergy between technology and ecology.
Photo: Courtesy of the artist / Film Still
Actually, that tall clock tower-looking building is a clock tower -- in fact, it is THE clock tower of the famous UT shootings and many suicides. The Computation Center is a small circley building.
These result images are from the first homework assignment of my Computational Photography class at Columbia University. For each image I applied a number of face detectors to the images and determined the best rotation give the number of faces. I also classified the image as having being individuals or group shots.
Author: Kristin Henry (www.underground-flash.com)
Description: In this piece, I explore the mathematics of a simple fractal with code. The red dots are the key vertices of each generation in the fractal.
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More of my artwork can be found in my online portfolio
and some prints are available
These result images are from the first homework assignment of my Computational Photography class at Columbia University. For each image I applied a number of face detectors to the images and determined the best rotation give the number of faces. I also classified the image as having being individuals or group shots.
Submission for this week's www.reddit.com/r/PictureChallenge/
Another phone camera entry - too busy debugging what's shown in the shot ;)
ACTIVATE 2009: Computational Thinking
CMU - Carnegie Mellon University
Pittsburgh,PA
July 10-13, 2009
Participant teacher presentation.
This photo is from July 13, 2009.
CSESI 2009: Computational Thinking
Computer Science Education Summer Institute 2009
Haverford, PA
June 29 - July 3, 2009
This photo is from June 30, 2009.
The Magic of Computing (PPT)
by Dr. Tom Way, Villanova University
CSTA - Computer Science Teachers Association
NECC National Conference
sponsored by the Int'l Society for Technology in Education (ISTE)
(A conference on using technology in K-12 in all types of classes)
Computational typography sketches, graphics for Cimatics 2008 festival identity. Collaboration with old friend Erik Johan Worsøe Eriksen from SKIN Design
drawing on canvas with trear physics tendrils using texones creative computing framework which is based on processing
Step in the computation of a recursive sequence. Intermediate steps can produce huge expressions, one of them shown here as a tree graph.
One Island East Office Tower - Hong Kong, China
HDA : Facade designer
Client : Swire Properties Inc.
Architect: Wong & Ouyang Ltd.
Date : 2003-2008
See more at : www.hda-paris.com/
One Island East Office Tower - Hong Kong, China
HDA : Facade designer
Client : Swire Properties Inc.
Architect: Wong & Ouyang Ltd.
Date : 2003-2008
See more at : www.hda-paris.com/
CSESI 2009: Computational Thinking
Computer Science Education Summer Institute 2009
Haverford, PA
June 29 - July 3, 2009
This photo is from June 30, 2009.
The Magic of Computing (PPT)
by Dr. Tom Way, Villanova University
CSTA - Computer Science Teachers Association
NECC National Conference
sponsored by the Int'l Society for Technology in Education (ISTE)
(A conference on using technology in K-12 in all types of classes)
CIUUK15 (Computational Intelligence Unconference UK 2015). ciunconference.org/
Photo taken by Fatima Vayani on behalf of the Computational Intelligence Unconferences Association. Thank you Fatima.
Drugstore Publicis - Paris, France
HDA : Facade Design Consultants & Engineers
Client : Drugstore Publicis SNC
Architect: Building Inc. Los Angeles avec Bruno Pingeot
Michael Saee
Date : 2002 - 2004
See more at : www.hda-paris.com/
These result images are from the first homework assignment of my Computational Photography class at Columbia University. For each image I applied a number of face detectors to the images and determined the best rotation give the number of faces. I also classified the image as having being individuals or group shots.
ACTIVATE 2009: Computational Thinking
CMU - Carnegie Mellon University
Pittsburgh,PA
July 10-13, 2009
Participant teacher presentation - chemical equilibrium equation.
This photo is from July 13, 2009.